Ai Ml Engineer

Job description

Responsibilities: Build & Configure GenAI-based solutions (chatbots, copilots, content generators). Integrate AI capabilities (NLP, CV, RAG, LLM APIs) into enterprise applications. Construct tool-using multi-agent systems using LangChain, AutoGen, or LangGraph. Fine-tune LLMs and configure prompt workflows tailored to business contexts. Implement inference pipelines for real-time predictions or decision automation. Develop feedback loops and self-improving logic (online learning, meta-learning). Enable tool orchestration, memory management, and long-context reasoning in agents. Collaborate with product and UI teams to bring AI features into user-facing apps. Prerequisites -Primary Programming : Strong Python -Secondary Programming : Java , C++, NodeJs -ML Concepts -REST APIs , Integration MQTT, Kafka -Version Control Must Have -Deep Learning Frameworks (PyTorch, Tensorflow) -Generative AI Development : ( LLM APIs, Prompt Engineering, RAG ) -Multi-Agent Frameworks (AutoGen, LangGrapha) & Protocols -Tool Integration (Memory, APIs) -Kubernetes/Docker for Deployment -Cloud Platforms(IBM/AWS/GCP/Azure) Nice to have -Performance Optimization (Fine-tuning LLMs ) -Reinforcement Learning (RLHF) -Vector DBs (FAISS, Pinecone) -Distributed Programming (Ray, Dask) Optional -Vision AI (YOLO, CNN) -Text-to-Image Models (Stable Diffusion) -Time-Series Forecasting